HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
22909
Single Precision Score
36809
Half Precision Score
17531
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 25 2026 07:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G1i Workstation Desktop PC |
| Motherboard | HP 8D3C |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8950
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
14975
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18578
301.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25963
420.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15173
246.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
120345
140.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
321736
375.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111467
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
10876
862.7 IPS |
|
|
Object Detection (HP)
|
100% |
17964
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
9163
737.7 IPS |
|
|
Face Detection (SP)
|
100% |
27571
327.6 IPS |
|
|
Face Detection (HP)
|
100% |
41558
493.8 IPS |
|
|
Face Detection (Q)
|
97% |
23920
285.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
52306
403.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94567
728.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
43135
344.4 IPS |
|
|
Style Transfer (SP)
|
100% |
206177
265.0 IPS |
|
|
Style Transfer (HP)
|
100% |
516698
664.2 IPS |
|
|
Style Transfer (Q)
|
98% |
184174
237.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38537
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48886
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27090
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2326
43.6 IPS |
